Sr Software Engineer - Mobile Development

The Senior Software Engineer is responsible for full-stack mobile development for our Manheim website. This person will work on designing, developing, and maintaining scalable, secure, and high-performing software systems. This role works cross-functionally with Product, Architecture, and Engineering teams to deliver business value through high-quality, reliable software. This is a hands-on role focused on building production-ready solutions, while contributing to technical direction, mentoring engineers, and leveraging modern tools—including AI and spec-driven development—to improve engineering productivity and outcomes. Key Responsibilities Software Development & Design Design, develop, test, and deploy software across the full technology stack Translate business and functional requirements into clear, well-defined technical specifications Ensure systems are scalable, resilient, maintainable, and secure Apply modern engineering standards and best practices Delivery & Execution Break down specs and features into clear, actionable, and estimable tasks Deliver incremental value using Agile methodologies Own end-to-end delivery of features or services Align development with architectural standards and system design Quality & Reliability Write and maintain automated unit, integration, and end-to-end tests Ensure code quality, performance, and adherence to specifications Troubleshoot and resolve production issues Identify risks, dependencies, and deviations early AI-Transformed Engineering Leverage AI-assisted tools (e.g., Copilot, LLM-based tools) to improve productivity and code quality Use AI for code generation, test creation, debugging, and documentation Validate and refine AI-generated outputs for correctness, security, and maintainability Contribute to team practices around AI usage and prompt engineering Spec-Driven Development Drive spec-driven development, where features are defined through clear, structured specifications before implementation Create and refine technical specs (APIs, contracts, workflows, data models) that serve as the source of truth for development Use specifications to enable alignment across engineering, product, and QA Leverage specs to support automation, testing, and AI-assisted development workflows Ensure implementations are traceable back to specifications and meet defined acceptance criteria Collaboration Partner with Product, QA, and Architecture teams to deliver solutions Participate in design discussions and technical decision-making Communicate progress, trade-offs, and blockers clearly Technical Leadership & Growth Contribute to coding standards and engineering best practices Mentor junior engineers through code reviews and guidance Continuously learn and adopt new technologies, including AI-driven techniques Spec-Driven + AI Requirements Experience working in spec-driven or contract-first development environments Ability to define clear technical specifications (e.g., API contracts, schemas, workflows) Experience using AI-assisted development tools effectively Ability to validate, refine, and safely adopt AI-generated outputs Understanding of responsible AI usage in software development Required Qualifications Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. Bachelor’s degree Computer Science or a related discipline and 4+ years of experience in a related field, OR master’s degree and 2+ years of experience, OR Ph.D. and up to 1 year of experience, OR 18+ years of directly relevant experience. Mobile development experience using React Native Strong proficiency in at least one programming language (e.g., Java, Python, .NET) Experience with cloud platforms (e.g., AWS) and distributed systems Solid understanding of system design, APIs, and data models Experience with automated testing and CI/CD practices In Office 2 days a week required. Preferred Qualifications Experience building large-scale or mission-critical systems Familiarity with microservices and event-driven architectures Experience integrating AI capabilities into applications (e.g., LLM APIs, search, recommendations) Experience improving engineering workflows through automation or AI Strong debugging and performance tuning skills #J-18808-Ljbffr